SDS 385 Socl Stat: Dis Multivar Models

Prof. Powers. MW 3-4:30 pm. This course deals with regression models for discrete and categorical dependent variables. Regression-like models for discrete and categorical outcomes are widely used in applied research. Students in this course should have some prior exposure to linear regression models. This class serves a wide range of students; the material presented here aims to be useful for students at all levels. In keeping with the applied nature of this course, we will provide examples drawn mainly from sociological and demographic research.

SDS 385 Stat Models for Big Data

Prof. Sarkar, MW 10:30-12 noon. This course is focused on the statistical and algorithmic principles needed to confront large data sets. It is not, at least primarily, about the practical issues associated with gathering, storing, cleaning, curating, and managing large data sets.

SDS 190 Readings in Statistics

Prof. Walker, W 3-4 pm. Faculty directed research seminar. Activities may vary, but will include readings of cutting-edge research papers, discussion of on-going student and faculty projects, and consulting projects.

SDS 392 Intro Scientific Programming

TTh 12:30-2 pm. Introduction to programming using both the C and Fortran (95/2003) languages, with applications to basic scientific problems. Covers common data types and structures, control structures, algorithms, performance measurement, and interoperability.